NDLI: Facial expression image mapping for brain-computer interface using El type classification

Content Provider	IEEE Xplore Digital Library
Author	Seongah Chin Chung-yeon Lee Jaedong Lee
Copyright Year	2010
Description	Author affiliation: Division of Multimedia Engineering, Sungkyul University, Anyang Korea (Seongah Chin; Chung-yeon Lee) \|\| Department of Computer Science, Korea University, Seoul Korea (Jaedong Lee)
Abstract	Recently, brain signal processing techniques related to brain computer interface (BCI) have been focused on rather entertainment areas for healthy users than alternative communication means for motor-impaired people. In this paper, we present a method for El type classification and facial expression mapping on expression pictures from EEG data using fuzzy rule based models. In this study, we suggest links between facial expression image space and personal tendency such as extrovert or introvert determined by EEG data from users. Extrovert or introvert (El) types including very extrovert, extrovert, medium, introvert, and very introvert are defined as building El fuzzy model based on alpha and beta values from EEG input. Also, EEG fuzzy model taking a membership value of El is designed to match a facial expression image among six facial expression image samples via defuzzification process. Finally, we have shown experimental results to validate the proposed methods.
Starting Page	465
Ending Page	469
File Size	441262
Page Count	5
File Format	PDF
ISBN	9781424473847
e-ISBN	9781424473861
DOI	10.1109/ICICIS.2010.5534783
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brain computer interface Fuzzy classification Facial expression Brain computer interfaces Personal traits
Content Type	Text
Resource Type	Article

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